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FAIR data principles and AI ethics:Exploring convergence and gaps | Synapse

February 5, 2026Open Access

FAIR data principles and AI ethics:Exploring convergence and gaps

Key Points

Investigate the alignment between FAIR data principles and AI ethics frameworks.
Mapped AI ethics frameworks to FAIR principles.
Analyzed enhancements in ethical AI use through FAIR principles.
Identified conceptual alignment between frameworks and principles.
FAIR principles align well with AI ethics frameworks conceptually.
Implementation of FAIR enhances traceability and accountability in AI.
Emphasized the need for transparent data governance in AI practices.

Abstract

Mapping AI-ethics frameworks to the FAIR principles and their extensions shows good conceptual alignment. While not directly referenced in AI-ethics frameworks, FAIR can enhance ethical AI use through traceability, accountability, auditability and transparent data governance.

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Cite This Study

Papadiamantis et al. (Tue,) studied this question.

synapsesocial.com/papers/698433d8f1d9ada3c1fb153f https://doi.org/https://doi.org/10.1177/2949799x251403108